Randomized embeddings for extreme learning
☆24Nov 17, 2015Updated 10 years ago
Alternatives and similar repositories for randembed
Users that are interested in randembed are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Discriminant Projection Forest results, datasets, etc.☆44Nov 30, 2019Updated 6 years ago
- SparseAutoEncoder - Unsupervised Learning☆14May 15, 2012Updated 14 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Aug 21, 2014Updated 11 years ago
- ☆13Nov 15, 2016Updated 9 years ago
- [Deprecated]: Exploration library☆17Jun 13, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Machine Learning analyses of the MNIST database of handwritten digits☆52Jan 2, 2017Updated 9 years ago
- ☆14Feb 12, 2016Updated 10 years ago
- python implementation of Incremental Hierarchical Agglomerative Clustering (IHAC)☆16Apr 8, 2015Updated 11 years ago
- Unsupervised Learning on Neural Network Outputs☆73Mar 17, 2017Updated 9 years ago
- Sketching-based Distributed Matrix Computations for Machine Learning☆101Feb 26, 2018Updated 8 years ago
- k-means algorithm with (optional) instance weights.☆15Mar 7, 2015Updated 11 years ago
- A streaming cross-cat inference engine☆20Mar 27, 2024Updated 2 years ago
- Solving NLP problems with Vowpal Wabbit: Tutorial and more☆183Mar 8, 2016Updated 10 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Dec 11, 2014Updated 11 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Rectified Factor Networks☆37Oct 16, 2019Updated 6 years ago
- ☆25Jun 21, 2022Updated 3 years ago
- Online machine learning algorithms (based on OLL C++ library)☆22Jun 29, 2017Updated 8 years ago
- ☆44Mar 30, 2016Updated 10 years ago
- Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"☆19Feb 8, 2020Updated 6 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Jun 26, 2015Updated 10 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Aug 13, 2016Updated 9 years ago
- Object-oriented CPU/GPU ConvNets in MATLAB based on MatConvNet☆15Mar 20, 2015Updated 11 years ago
- Convex Polytope Machine☆25Feb 4, 2015Updated 11 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆153Dec 23, 2016Updated 9 years ago
- Tutorial on deploying machine learning models to production☆59Nov 3, 2019Updated 6 years ago
- Optimally-weighted herding is Bayesian Quadrature☆17Jul 8, 2016Updated 9 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Jul 24, 2016Updated 9 years ago
- proportion-SVM (pSVM, $\propto$SVM) for learning with label proportions☆21Jul 11, 2013Updated 12 years ago
- Object detection demo: Fine-grained search (FGS) + StructObj☆50Oct 17, 2016Updated 9 years ago
- A streaming cross-cat inference engine☆50Dec 19, 2014Updated 11 years ago
- ☆14Sep 23, 2014Updated 11 years ago
- ☆89Nov 20, 2016Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Multiclass classification based on stochastic dual coordinate ascent☆33Nov 30, 2016Updated 9 years ago
- Active Learning☆56Jun 6, 2015Updated 10 years ago
- Autograd (backpropagation, reverse-mode auto differentiation) in Nim☆12Oct 25, 2017Updated 8 years ago
- The Matlab Code and the Supplementary Material for the NIPS 2015 paper "Deep Temporal Sigmoid Belief Networks for Sequence Modeling"☆45Feb 8, 2017Updated 9 years ago
- Implementation of QA Networks☆10Jul 14, 2016Updated 9 years ago
- A Python framework for exploring distributional semantic models.☆85Dec 12, 2015Updated 10 years ago
- 2013 Fall Cloud Computing Project for Nerve Cloud group: MapReduce-Based Deep Learning☆15Dec 2, 2013Updated 12 years ago